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- Publisher Website: 10.1109/iSPEC50848.2020.9351163
- Scopus: eid_2-s2.0-85101837343
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Conference Paper: Robust Dispatch with Demand Response under Decision-dependent Uncertainty
Title | Robust Dispatch with Demand Response under Decision-dependent Uncertainty |
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Authors | |
Keywords | demand response decision-dependent uncertainty endogenous uncertainty column and constraint generation algorithm |
Issue Date | 2020 |
Publisher | IEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1835304/all-proceedings |
Citation | 2020 IEEE Sustainable Power and Energy Conference (iSPEC), Chengdu, China, 23-25 Novemebr 2020, p. 2122-2127 How to Cite? |
Abstract | Demand response is recognized as a promising solution to reducing operation costs and alleviating system risks by encouraging end-users to participate in system regulation. In practice, demand response will inevitably introduce uncertainty to decision-making in power system operation due to volatile weather and complicated social behaviors. The decisions, conversely, may affect the uncertainty itself on parameters or information structures. This kind of uncertainty is the so-called decision-dependent uncertainty (DDU), which has not been explored in demand response management. In this paper, we propose a novel two-stage robust economic dispatch model with demand response under DDU, where the uncertainty set of demand response varies with respect to its set-point determined by the decision. To solve this problem, we propose an improved column and constraint generation (C&CG) algorithm with a scenario mapping embedded. The numerical experiments carried on the IEEE 5-bus system illustrate the influence of decision dependence of uncertainty on demand response management and validates the effectiveness of the proposed algorithm. |
Persistent Identifier | http://hdl.handle.net/10722/306179 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Su, Y | - |
dc.contributor.author | Zhang, Y | - |
dc.contributor.author | Liu, F | - |
dc.contributor.author | Feng, S | - |
dc.contributor.author | Hou, Y | - |
dc.contributor.author | Wang, W | - |
dc.date.accessioned | 2021-10-20T10:19:55Z | - |
dc.date.available | 2021-10-20T10:19:55Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | 2020 IEEE Sustainable Power and Energy Conference (iSPEC), Chengdu, China, 23-25 Novemebr 2020, p. 2122-2127 | - |
dc.identifier.isbn | 9781728191652 | - |
dc.identifier.uri | http://hdl.handle.net/10722/306179 | - |
dc.description.abstract | Demand response is recognized as a promising solution to reducing operation costs and alleviating system risks by encouraging end-users to participate in system regulation. In practice, demand response will inevitably introduce uncertainty to decision-making in power system operation due to volatile weather and complicated social behaviors. The decisions, conversely, may affect the uncertainty itself on parameters or information structures. This kind of uncertainty is the so-called decision-dependent uncertainty (DDU), which has not been explored in demand response management. In this paper, we propose a novel two-stage robust economic dispatch model with demand response under DDU, where the uncertainty set of demand response varies with respect to its set-point determined by the decision. To solve this problem, we propose an improved column and constraint generation (C&CG) algorithm with a scenario mapping embedded. The numerical experiments carried on the IEEE 5-bus system illustrate the influence of decision dependence of uncertainty on demand response management and validates the effectiveness of the proposed algorithm. | - |
dc.language | eng | - |
dc.publisher | IEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1835304/all-proceedings | - |
dc.relation.ispartof | IEEE Sustainable Power and Energy Conference (iSPEC) | - |
dc.rights | IEEE Sustainable Power and Energy Conference (iSPEC). Copyright © IEEE. | - |
dc.rights | ©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | demand response | - |
dc.subject | decision-dependent uncertainty | - |
dc.subject | endogenous uncertainty | - |
dc.subject | column and constraint generation algorithm | - |
dc.title | Robust Dispatch with Demand Response under Decision-dependent Uncertainty | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Hou, Y: yhhou@hku.hk | - |
dc.identifier.authority | Hou, Y=rp00069 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/iSPEC50848.2020.9351163 | - |
dc.identifier.scopus | eid_2-s2.0-85101837343 | - |
dc.identifier.hkuros | 327433 | - |
dc.identifier.spage | 2122 | - |
dc.identifier.epage | 2127 | - |
dc.publisher.place | United States | - |